XieResearchGroup
  • About the Group
  • HPC Environments
    • Summary of HPCs
      • DGX (Group)
      • DLS (Department)
      • Dragon (Group)
    • HPC User Guide (Must Read)
      • Overall Workflow
      • Connect to HPCs
      • User Directories
      • Run Jobs
      • Data Backup
  • Useful Tutorials
    • Linux Tutorial
      • Linux Commands
    • Docker Tutorial
      • Intro to Docker
      • Intro to NVIDIA Docker
      • Use Docker for Deep Learning
      • Docker Useful Commands
    • Jupyter Notebook Tutorial
      • Run Jupyter Server with GPU Access on HPCs
    • HTCondor Tutorial
      • Introduction of HTCondor
      • Quick Start Guide
      • Submitting Vanilla Job
      • Submitting Docker Job
      • HTCondor Useful Commands
    • Better Deep Learning
      • Better Training
      • Better Generalization
      • Better Prediction
    • About Graph Neural Networks
    • Data Preprocessing
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  1. Useful Tutorials
  2. Docker Tutorial

Intro to NVIDIA Docker

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Last updated 2 years ago

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To enable portability in Docker images that leverage GPUs, NVIDIA developed NVIDIA Docker, an open source project that provides a command line tool to mount the user mode components of the NVIDIA driver and the GPUs into the Docker container at launch. NVIDIA Docker is essentially a wrapper around Docker that transparently provisions a container with the necessary components to execute code on the GPU.

On the DGX and DLS machines, the Docker installed is actually the NVIDIA Docker.

NVIDIA Docker shares the same commands as the original Docker.